{"id":"https://openalex.org/W1489808855","doi":"https://doi.org/10.21437/eurospeech.1997-42","title":"Bayesian methods for language verification","display_name":"Bayesian methods for language verification","publication_year":1997,"publication_date":"1997-09-22","ids":{"openalex":"https://openalex.org/W1489808855","doi":"https://doi.org/10.21437/eurospeech.1997-42","mag":"1489808855"},"language":"en","primary_location":{"id":"doi:10.21437/eurospeech.1997-42","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1997-42","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th European Conference on Speech Communication and Technology (Eurospeech 1997)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109011154","display_name":"Eluned S. Parris","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Eluned S. Parris","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031666084","display_name":"H. Lloyd-Thomas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harvey Lloyd-Thomas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011512061","display_name":"Michael J. Carey","orcid":"https://orcid.org/0000-0003-1561-4059"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael J. Carey","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110171763","display_name":"Jerry Wright","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jerry H. Wright","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109011154"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6038,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73824622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8065683841705322},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.649560809135437},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6455388069152832},{"id":"https://openalex.org/keywords/substring","display_name":"Substring","score":0.5882753133773804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5171043872833252},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.504693865776062},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4809398055076599},{"id":"https://openalex.org/keywords/n-gram","display_name":"n-gram","score":0.4342370629310608},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.4337718188762665},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41730672121047974},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.372070848941803},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17204371094703674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12080729007720947}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065683841705322},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.649560809135437},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6455388069152832},{"id":"https://openalex.org/C182407805","wikidata":"https://www.wikidata.org/wiki/Q2626534","display_name":"Substring","level":3,"score":0.5882753133773804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5171043872833252},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.504693865776062},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4809398055076599},{"id":"https://openalex.org/C117884012","wikidata":"https://www.wikidata.org/wiki/Q94489","display_name":"n-gram","level":3,"score":0.4342370629310608},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.4337718188762665},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41730672121047974},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.372070848941803},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17204371094703674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12080729007720947},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/eurospeech.1997-42","is_oa":false,"landing_page_url":"https://doi.org/10.21437/eurospeech.1997-42","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"5th European Conference on Speech Communication and Technology (Eurospeech 1997)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire_cris_publications/5725a735-7d73-40b9-8f3c-08ac38e65773","is_oa":false,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/5725a735-7d73-40b9-8f3c-08ac38e65773","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Parris, ES, Lloyd-Thomas, H, Carey, MJ & Wright, JHG 1997, 'Bayesian methods for language verification', Proc. European conference on speech technology, Rhodes, pp. 59 - 62.","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W185189022","https://openalex.org/W1523450885","https://openalex.org/W2147500075","https://openalex.org/W2152174149","https://openalex.org/W2162922114","https://openalex.org/W2172287020"],"related_works":["https://openalex.org/W2141389247","https://openalex.org/W2113687551","https://openalex.org/W2250909759","https://openalex.org/W2112752961","https://openalex.org/W2532616038","https://openalex.org/W2787311093","https://openalex.org/W4307474317","https://openalex.org/W2147879411","https://openalex.org/W2624072012","https://openalex.org/W2057384730"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,44,75],"number":[4],"of":[5,31,51,69,96],"techniques":[6],"for":[7,62],"language":[8,16,63,99],"verification":[9,64],"based":[10],"on":[11],"acoustic":[12,41],"processing":[13],"and":[14],"n-gram":[15],"modelling.":[17],"A":[18],"new":[19],"technique":[20],"is":[21,65,80],"described":[22],"which":[23],"uses":[24],"anti-models":[25],"to":[26,38,56],"model":[27],"the":[28,40,48,52,89,97],"general":[29],"class":[30],"languages.":[32],"These":[33],"models":[34],"are":[35,72,93],"then":[36],"used":[37],"normalise":[39],"score":[42],"giving":[43],"34%":[45],"reduction":[46],"in":[47,88],"error":[49],"rate":[50],"system.":[53],"An":[54],"approach":[55],"automatically":[57],"generate":[58],"discriminative":[59],"subword":[60],"strings":[61,71],"presented.":[66],"The":[67],"occurrence":[68],"recurrent":[70],"scored":[73],"using":[74],"Poisson-based":[76],"significance":[77],"test.":[78],"It":[79],"shown":[81],"that":[82],"when":[83],"significant":[84],"substrings":[85],"do":[86],"occur":[87],"test":[90],"material":[91],"they":[92],"strong":[94],"indicators":[95],"target":[98],"occurring.":[100]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
